数据结构_哈夫曼树及其应用
构造算法的例子
构造算法的实现
初始化,置权值
int i, m, s1, s2;
m = 2 * n - 1;
for (i = 1; i <= m; i++)
{
HT[i].lch = 0;
HT[i].rch = 0;
HT[i].parent = 0;
}
for (i = 1; i <= n; i++)
{
cin >> HT[i].weight;
}
合并结点
// 创建哈夫曼树
for (i = n + 1; i <= m; i++)
{
s1 = -1;
s2 = -1;
Selete(HT, i - 1, s1, s2);
HT[s1].parent = i;
HT[s2].parent = i;
HT[i].lch = s1;
HT[i].rch = s2;
HT[i].weight = HT[s1].weight + HT[s2].weight;
}
哈夫曼编码
void HuNode::create_Code(HuNode* HT, char** code, int n)
{
int i, current, parent, k;
char temp[100]; // 临时数组存放编码
for (i = 1; i <= n; i++)
{
current = i;
parent = HT[i].parent;
k = 0; // 编码长度计数器
while (parent != 0)
{
if (HT[parent].lch == current)
{
temp[k] = '0'; // 左子节点编码为 '0'
k++;
}
else
{
temp[k] = '1';
k++;
}
current = parent;
parent = HT[current].parent;
}
temp[k] = '\0';
// 将编码倒置并保存
code[i] = new char[k + 1];
for (int j = 0; j < k; j++)
{
code[i][j] = temp[k - j - 1];
}
code[i][k] = '\0';
}
}
文件的编码或译码
int HuNode::Decode(const string codestr, char txtstr[], int n)
{
int index, root, i, curNode;
index = 0;
root = 2 * n - 1; // 根节点编号
curNode = root;
for (i = 0; i < codestr.length(); i++)
{
if (codestr[i] == '0')
{
curNode = this[curNode].lch;
}
else
{
curNode = this[curNode].rch;
}
// 解码失败
if (curNode == 0)
{
return error;
}
// 是叶子节点
if (this[curNode].lch == 0 && this[curNode].rch == 0)
{
txtstr[index] = this[curNode].data;
index++;
curNode = root;
}
}
if (curNode != root)
{
return error;
}
txtstr[index] = '\0';
return ok;
}
原文地址:https://blog.csdn.net/2301_79837864/article/details/143577617
免责声明:本站文章内容转载自网络资源,如本站内容侵犯了原著者的合法权益,可联系本站删除。更多内容请关注自学内容网(zxcms.com)!